Category: IT Leadership

Why it’s DevOps then Agile, not Agile on its own.
Is the Agile Bubble Bursting? I Hope Not.
Our Pledge to Make the US Election System Safe and Secure for All.
How Software Intelligence Can Certify Safety in Critical Infrastructure
Don’t Be One of the 66% Digital Transformations Projects Delayed Because of Poor Planning.
3 Steps to Set an Effective Cloud Migration Strategy to Pivotal Cloud Foundry
Making the Case for Better Transparency in IT Modernization.
CIO Perspective: Applying Software Intelligence to Analyze Legacy Stacks
Three Cloud Migration Fails to Avoid and How.
Cloud Migration: A Cautionary Tale in Digital Transformation
Three Ways CIOs Can Count on Software Intelligence for Improved IT Outcomes.
Software Intelligence Helps CIOs Direct Success, Not Horror Movies
A look at how the College Board set 7 ‘North Stars’ to rapidly transform monolithic applications.
To Modernize Legacy Systems, Cloud Offers an Optimal Path
What CIOs can learn from the leader of world-class soccer champions.
Is Didier Deschamps a Champion of Software Intelligence?
How to Improve Software Quality with the 20x20n Digital Transformation Framework
Digital Transformation and the 20x20n Framework: Accelerating Software Delivery with Sustaining Innovation
A Review of 3 Strategic Alliances from MIT Sloan.
Digital Transformation at Scale: The Secret Sauce to Strategic Partnerships
The Hearst Business Media Approach? Eat the Elephant, One Bite at a Time.
How To Manage Software Risk During Mergers and Acquisitions
Organizations continue to measure vendor performance and software products with outdated criteria. As a result, security and efficiency issues abound.
IT Vendor Management: Diagnosing the Relationships Between Healthcare Organizations and Software Vendors
Lessons learned from American Express measuring quality in the software supply chain
IT Vendor Management Trends: Four Unexpected Benefits of Measuring Software Quality
Software Intelligence into the true effort, work and quality delivered by teams and partners should be standardized and consistent for complete transparency.
Why Measurement Matters in Outsourced Application Development
L’ approccio costante alla misurazione come reale contributo all’efficientamento del vendor management
QA Financial Forum - Vendor Risk Management: Nuovi modelli di Benchmark per la Software Quality ed il Pricing
As banks, financial services and insurance organizations increase their reliance on software-based digital capabilities, they have big decisions to make on how they will protect business operations with effective software risk management.
QA Financial Forum Reviews the Impact of New Regulations on Software Risk Management
Last week, CAST attended the Gartner Sourcing Summit in Nashville with more than 800 senior sourcing, procurement and vendor management executives from Fortune 500 companies.
Takeaways from the 2017 Gartner Sourcing Summit

A recurring issue for IT and business management is whether it’s best to build an in-house team or outsource the development of software applications. Some of the biggest factors when contemplating application outsourcing are cost, security and loss of control.

Business agility remains a top priority, but this puts added pressure on teams to move fast, and can sometimes lead to rushed projects and a lack of attention to detail. When in-house teams are under tight deadline restrictions, corners can get cut. In fact, most in the developer community agree that outsourcing is the best way to go for timely and on-budget development projects.

Adding Measurement to Your Application Outsourcing

Last week, CAST, a global leader in software analytics, invited more than 100 IT professionals to participate in a software risk and analytics roundtable in New York, NY. The daylong exchange included CIOs, industry analysts, systems integrators and IT advisory firms. As an outcome of this gathering, CAST published an IT Trends 2016 Report. The following post attempts to capture some of the exchange between participants and key takeaways.

IT Trends 2016: Insights from the CAST CIO and IT Leaders’ Roundtable Discussion

Topping the list of IT Trends 2016 is helping CIOs take advantage of Big Data for themselves, while cutting through the clutter. Accelerating the time from data to decision requires analytics that highlight areas of risk and opportunity in support of business decisions, not technical ones. Proactive, predictive insight arms CIOs with the ability to ask the right questions, to challenge the status quo and surface technical risks that jeopardize revenue, reputation or brand. Real-time solutions that improve the signal-to-noise ratio top the CIO’s wish list for 2016.

IT Trends 2016